The Role of Image Statistics on Cross-MediaGamut Mapping

摘要

A universal gamut mapping algorithm (GMA) which performs well forany images in color reproduction between different media would be highlydesirable. However, various GMAs have previously been reported to haveimage–dependent behavior. In order to deal with this problem, recent studiesfocus on image adapted solutions. Nevertheless, these solutions normally weredeveloped based on a predetermined image characteristic which is incapable ofoptimizing all types of reproductions. The present study hence investigatesvarious image statistics and their related GMA performance for a betterunderstanding of their correlation. In this paper, the process to identify importantimage statistics is proposed and an automatic approach to choose the best-suitedGMAs for a certain image is also demonstrated.